AI ToolsData ClassificationLLM Platform
8
33

Lamini

Reduce hallucinations and improve LLM accuracy effectively

Freemium
Free Version
API Available
Visit Website
Lamini

Target Audience

  • Data scientists
  • Business analysts
  • Enterprise IT teams
  • Customer service managers

Hashtags

#EnterpriseAI#LLMPlatform#AIAccuracy

Social Media

Overview

Lamini is an enterprise-level platform designed to enhance the accuracy of large language models (LLMs) while significantly reducing errors known as hallucinations. It enables businesses to create specialized mini-agents that can process and analyze data with remarkable precision. This tool is crucial for organizations that rely on accurate data handling and want to maintain data privacy.

Key Features

1

High Accuracy

Achieve up to 95% accuracy on tuned models

2

Memory RAG

Utilize embed-time compute for smarter, efficient retrieval

3

Classifier Toolkit

Automate data classification tasks effortlessly

4

On-Premise Deployment

Maintain data privacy with secure local installations

5

Function Calling

Connect seamlessly to external APIs and tools

Use Cases

🔍

Text-to-SQL for business analysis

📊

Automate manual classification tasks

🤖

Build intelligent customer service agents

💻

Function calling for productivity boost

📈

Code assistance for niche programming

Pros & Cons

Pros

  • Significantly reduces LLM hallucinations
  • High accuracy rates for complex tasks
  • Flexible deployment options, including air-gapped environments
  • User-friendly tools for automating classification tasks

Cons

  • Primarily targeted at enterprise-level users
  • May require technical knowledge to implement fully

Pricing Plans

Standard Plan

One-time
$300

Features

  • Free credits to start
  • Access to Memory RAG
  • Use of Classifier Toolkit

Pricing may have changed

For the most up-to-date pricing information, please visit the official website.

Visit website

Frequently Asked Questions

What is Memory RAG?

Memory RAG is a feature that enhances the accuracy of RAG agents using embed-time compute.

How does Lamini ensure data privacy?

Lamini can be deployed in secure environments, including on-premise setups, to ensure data privacy.

Who can benefit from using Lamini?

Lamini is designed for enterprises that need high accuracy in LLM applications and want to automate data processes.

Reviews for Lamini

Alternatives of Lamini

Open-Source
Laminar

Ship reliable AI products with unified LLM monitoring

LLM MonitoringAI Observability
Freemium
Velvet

Centralize and optimize LLM operations for production AI systems

LLM Operations ManagementAI Analytics
Confident AI

Evaluate and improve large language models with precision metrics

LLM EvaluationAI Tools
6
2
238 views
Andes

Access diverse LLM APIs through a unified marketplace

LLM API MarketplaceAI Integration Platform
Freemium
LM Studio

Run large language models locally with full privacy control

Local LLM PlatformAI Chat
7
1
162 views
Tiered
Parea AI

Monitor and optimize production-ready LLM applications

LLM EvaluationAI Experiment Tracking
Enterprise/Custom
Unstructured

Transform unstructured enterprise data into AI-ready formats automatically

AI Data ProcessingEnterprise ETL Solutions
3
1
181 views
DeepSeek v3

Tackle complex reasoning and code generation with state-of-the-art AI language models

Large Language Model (LLM)AI Development Tools